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Analyze » 3Commas.io » 3CO1772490558

Incident Score: Analysis & Impact (3CO1772490558)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-46
Company Score Before Incident752 / 1000
Company Score After Incident706 / 1000
INCIDENT NUMBER3CO1772490558
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSEDNA
INCIDENT DATE01/03/2026
STATUSOngoing (legal proceedings)

Key Highlights From The Incident Analysis

  • Timeline of 3Commas.io's Cyber Attack and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts 3Commas.io Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the 3Commas.io breach identified under incident ID 3CO1772490558.

The analysis begins with a detailed overview of 3Commas.io's information like the linkedin page: https://www.linkedin.com/company/3commas-io, the number of followers: 6011, the industry type: Software Development and the number of employees: 107 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 752 and after the incident was 706 with a difference of -46 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on 3Commas.io and their customers.

3Commas recently reported "3Commas Faces Class Action Over $22M Crypto Losses Due to Alleged Cybersecurity Failures", a noteworthy cybersecurity incident.

A divided three-judge panel of the U.S.

The disruption is felt across the environment, affecting Automated cryptocurrency trading bots, plus an estimated financial loss of $22 million.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (legal proceedings).

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate confidence (60%), with evidence including inadequate security protections, and automated cryptocurrency trading bots and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating alleged negligent cybersecurity measures led to $22M losses. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (80%), with evidence including inadequate security protections, and cryptocurrency owners using automated trading bots. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating $22 million in losses for cryptocurrency owners and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (60%), supported by evidence indicating automated transactions across 14 cryptocurrency platforms. Under the Impact tactic, the analysis identified Defacement (T1491) with lower confidence (40%), supported by evidence indicating alleged cybersecurity failures and Service Stop (T1489) with moderate confidence (50%), supported by evidence indicating $22 million in losses for cryptocurrency owners. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Valid Accounts (70%)
Credential Access
Unsecured Credentials (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Alternative Protocol (60%)
Impact
Defacement (40%)
Service Stop (50%)

Sources & References